ReviewJournal of asthma and allergy2024
Research Trends and Hotspots on Asthma and Depression: A Bibliometric Analysis.
Review in Journal of asthma and allergy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global research landscape and emerging trends of respiratory microbiota and asthma: a bibliometric analysis.Frontiers in cellular and infection microbiology · 2026Pooled it
- Academic scientific impact and emerging patterns in research on additives, preservatives and asthma: A scientometric analysis.Journal of education and health promotion · 2026Article
- Development of a machine learning-based depression risk identification tool for older adults with asthma.BMC psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Asthma and depression are prevalent conditions with significant comorbidity, impacting patients' quality of life. This bibliometric study aims to analyze research trends and hotspots in the field from 2000 to 2023, identifying key contributions and predicting future directions. Methods: We conducted a systematic search in the Web of Science Core Collection (WoSCC) for articles on asthma and depression, published between 2000 and 2023. Bibliometrics, which involves the application of mathematical and statistical methods to analyze scholarly literature, was employed in this study to systematically assess the research trends and hotspots in the field of asthma and depression. VOSviewer and CiteSpace software were utilized for visual analysis and data visualization, enabling us to map collaboration networks and identify research hotspots and trends within the asthma and depression literature. Results: Our analysis retrieved 3067 papers from 937 journals, involving 14,631 authors and 4006 institutions across 106 countries. The United States, Columbia University, the Journal of Asthma, and Christer Janson were the most prolific contributors. Six primary research themes emerged: quality of life, childhood asthma, primary care, substance P, intervention, and emotion. Additionally, Burst detection analysis identified emerging topics, including severe asthma, other respiratory diseases, and oxidative stress. Conclusion: This bibliometric analysis has revealed significant insights into the research trends and hotspots in the field of asthma and depression. The primary findings indicate a growing body of research highlighting the impact of depression on asthma control and patients' quality of life, the need for psychological interventions in treating comorbid asthma and depression, and the emerging focus on severe asthma and oxidative stress mechanisms. These findings underscore the importance of continued research in these areas to advance our understanding and improve clinical outcomes for patients with these comorbid conditions.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.